An application of adaptive neuro fuzzy inference system for estimating the uniaxial compressive strength of certain granitic rocks from their mineral contents

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dc.authoridGokceoglu, Candan -- 0000-0003-4762-9933; Sezer, Ebru Akcapinar -- 0000-0002-9287-2679
dc.contributor.authorYeşiloğlu Gültekin, Nurgül
dc.contributor.authorAkçapınar Sezer, Ebru
dc.contributor.authorGökçeoğlu, Candan
dc.contributor.authorBayhan, Hasan
dc.date.accessioned13.07.201910:50:10
dc.date.accessioned2019-07-29T19:26:22Z
dc.date.available13.07.201910:50:10
dc.date.available2019-07-29T19:26:22Z
dc.date.issued2013
dc.departmentMühendislik Fakültesi
dc.description.abstractThe uniaxial compressive strength (UCS) of rocks is an important intact rock parameter, and it is commonly used for various engineering applications. This parameter is mainly controlled by the mineralogical and textural characteristics of rocks. In this study, a soft computing method, an adaptive neuro-fuzzy inference system (ANFIS), was employed to estimate UCS from the mineral contents of certain granitic rocks selected from Turkey; nonlinear multiple regression analysis was then employed to validate these estimations. Five nonlinear multiple regressions and ANFIS models were constructed with three inputs: quartz, orthoclase and plagioclase. To determine the optimal model, various performance indices (R, values account for and root mean square error) were determined, and the model obtained from dataset #3 was selected as the optimal model. The coefficients of correlation for the nonlinear multiple regression and ANFIS models were 0.87 and 0.91, respectively. Thus, both models yielded acceptable results, and the ANFIS is a suitable method for estimating the UCS of rocks. (C) 2012 Elsevier Ltd. All rights reserved.
dc.identifier.doi10.1016/j.eswa.2012.05.048
dc.identifier.endpage928en_US
dc.identifier.issn0957-4174
dc.identifier.issue3en_US
dc.identifier.scopusqualityQ1
dc.identifier.startpage921en_US
dc.identifier.urihttps://doi.org/10.1016/j.eswa.2012.05.048
dc.identifier.urihttps://hdl.handle.net/20.500.12451/5566
dc.identifier.volume40en_US
dc.identifier.wosWOS:000311133600012
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherPergamon-Elsevier Science Ltd
dc.relation.ispartofExpert Systems With Applications
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.subjectGranitic Rock
dc.subjectNonlinear Multiple Regression
dc.subjectAdaptive Neuro Fuzzy Inference System
dc.subjectUniaxial Compressive Strength
dc.titleAn application of adaptive neuro fuzzy inference system for estimating the uniaxial compressive strength of certain granitic rocks from their mineral contents
dc.typeArticle

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